With the right tools, doctors and scientists can transform lives and the future of research. By equipping the world’s leading institutions with advanced solutions, NVIDIA is enabling them to tackle interoperable data and meet the increasing demand for personalised medicine and next-generation clinics. Now, it’s possible to develop intelligent applications unique to your workflows and accelerate areas like image analysis, scientific research, and drug discovery.
HEALTHCARE
LIFE SCIENCES
Delivering Tomorrow’s Care Today
Clara Medical Imaging
Advances in medical imaging are vital for early detection, diagnosis, and treatment of disease. NVIDIA Clara™ Medical Imaging provides data scientists, researchers, and software developers with the tools, APIs, and development framework they need to implement AI-assisted workflows and tackle the challenges of medical imaging.
Developed to meet the demands of AI and analytics, NVIDIA DGX™ Systems is the world’s first portfolio of purpose-built deep learning systems. Learn how to experiment faster, train larger models, and get insights from day one.
Listen to thought leaders in radiology deliver insights on how using AI to augment radiology workflows is improving operational efficiencies and elevating patient care.
From automating workflows to improving processing speed and image quality, medical imaging developers are using NVIDIA Clara to harness AI to transform healthcare workloads.
Genomics data has increased in size and complexity. NVIDIA Clara Genomics enables real-time genomics workflows with accelerated and intelligent computing at the edge, on premises, or in the cloud to reduce the cost of sequencing when studying large populations.
Built for the convergence of AI and high-performance computing (HPC), NVIDIA V100 GPUs offer researchers and data scientists the ultimate performance for deep learning and the highest versatility for all workloads to solve their most challenging work.
Attacked by pathogens, dwindling cassava crops threaten the food supply of 800 million people. Utilising Oxford Nanopore Technologies' genome sequencing device MiniIT, identifying the disease to cure has never been easier.
GPUs are enabling end-to-end cryo-EM workflow acceleration opening new opportunities to understand cellular structures and streamline drug discovery research.
Using the Summit Supercomputer, Oak Ridge National Labs’ promising 2018 Gordon Bell winning research into understanding how all the components of a cell interact could lead to alternative, non-addicting pain medications.
Deep neural networks combined with domain expertise presents the opportunity to screen de novo drug-like compounds and produce lead-like molecules in record time.
Get started with hands-on training in AI and accelerated computing, offered by the NVIDIA Deep Learning Institute (DLI). Join a workshop on healthcare image analysis or take self-paced, online courses to get experience modeling time-series data, building data science workflows, and working with popular frameworks like TensorFlow, Theano, Keras, and more.